Job Scoops:
- Employ Excel functions such as pivot tables, filters, and string formulas to identify and rectify inconsistencies, errors, and duplicates within datasets.
- Standardize data formats and ensure data adheres to established guidelines and quality standards.
- Review credit and collateral documents to extract relevant data points and validate their accuracy.
- Interpret complex terminology within the documentation.
- Develop and implement systematic approaches to data cleansing processes.
- Identify patterns and trends within data to proactively address potential issues.
- Liaise with internal stakeholders to understand data requirements and report findings.
- Articulate data cleansing methodologies and outcomes clearly and concisely.
Qualifications as follows:
- Min Bachelor Degree
- Advanced proficiency in Microsoft Excel, including pivot tables, filters, and string formulas.
- Demonstrated ability to analyze and interpret credit and collateral documentation.
- Exceptional attention to detail and accuracy.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Prior experience in regulatory reporting or credit administration.
- Familiarity with data cleansing tools and techniques.
- Understanding of data governance and quality control principles.
- Able to communicate in English
